Structured Variable Selection with Sparsity-Inducing Norms

22 April 2009

Papers citing "Structured Variable Selection with Sparsity-Inducing Norms"

50 / 145 papers shown

Title
Learning Local Dependence In Ordered Data Guo Yu Jacob Bien 14 34 0 25 Apr 2016
Interpretability of Multivariate Brain Maps in Brain Decoding: Definition and Quantification S. M. Kia FAtt 15 2 0 29 Mar 2016
Classical Statistics and Statistical Learning in Imaging Neuroscience D. Bzdok 16 142 0 06 Mar 2016
A single-phase, proximal path-following framework Quoc Tran-Dinh Anastasios Kyrillidis V. Cevher 10 6 0 05 Mar 2016
Feature Selection: A Data Perspective Jundong Li Kewei Cheng Suhang Wang Fred Morstatter Robert P. Trevino Jiliang Tang Huan Liu 14 794 0 29 Jan 2016
Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization P. Xie Yuntian Deng Eric P. Xing DRL 25 9 0 23 Dec 2015
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations Xiaohan Yan Jacob Bien 19 47 0 05 Dec 2015
Exclusive Sparsity Norm Minimization with Random Groups via Cone Projection Yijun Huang Ji Liu 41 8 0 27 Oct 2015
Structured Sparsity: Discrete and Convex approaches Anastasios Kyrillidis Luca Baldassarre Marwa El Halabi Quoc Tran-Dinh V. Cevher 21 27 0 20 Jul 2015
Variational Gram Functions: Convex Analysis and Optimization Amin Jalali Maryam Fazel Lin Xiao 41 14 0 16 Jul 2015
Fast ConvNets Using Group-wise Brain Damage V. Lebedev Victor Lempitsky AAML 41 447 0 08 Jun 2015
Learning the Structure for Structured Sparsity N. Shervashidze Francis R. Bach CML 26 22 0 10 Mar 2015
Supersparse Linear Integer Models for Optimized Medical Scoring Systems Berk Ustun Cynthia Rudin 25 349 0 15 Feb 2015
Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction Yong Luo Dacheng Tao Yonggang Wen K. Ramamohanarao Chao Xu 23 236 0 09 Feb 2015
Sparse Modeling for Image and Vision Processing Julien Mairal Francis R. Bach Jean Ponce VLM 39 488 0 12 Nov 2014
Bayesian group latent factor analysis with structured sparsity Shiwen Zhao Chuan Gao S. Mukherjee Barbara E. Engelhardt CML 20 4 0 11 Nov 2014
A totally unimodular view of structured sparsity Marwa El Halabi V. Cevher 40 30 0 07 Nov 2014
A Greedy Homotopy Method for Regression with Nonconvex Constraints Fabian L. Wauthier P. Donnelly 29 1 0 27 Oct 2014
Screening Rules for Overlapping Group Lasso Seunghak Lee Eric P. Xing 29 16 0 25 Oct 2014
Randomized Structural Sparsity via Constrained Block Subsampling for Improved Sensitivity of Discriminative Voxel Identification Yilun Wang Junjie Zheng Sheng Zhang Xujun Duan Huafu Chen OOD 32 17 0 17 Oct 2014
Convex Modeling of Interactions with Strong Heredity Asad Haris Daniela Witten N. Simon 21 59 0 13 Oct 2014
10,000+ Times Accelerated Robust Subset Selection (ARSS) Feiyun Zhu Bin Fan Xinliang Zhu Ying Wang Shiming Xiang Chunhong Pan 61 28 0 12 Sep 2014
Matrix Completion on Graphs Vassilis Kalofolias Xavier Bresson M. Bronstein P. Vandergheynst 36 171 0 07 Aug 2014
Dissimilarity-based Sparse Subset Selection Member Ieee Ehsan Elhamifar Fellow Ieee Guillermo Sapiro F. I. S. Shankar Sastry 41 125 0 25 Jul 2014
Classification of Passes in Football Matches using Spatiotemporal Data S. Chawla Joachim Gudmundsson J. Estephan M. Horton 40 84 0 18 Jul 2014
Low Complexity Regularization of Linear Inverse Problems Samuel Vaiter Gabriel Peyré M. Fadili 48 33 0 07 Jul 2014
Convex Banding of the Covariance Matrix Jacob Bien F. Bunea Luo Xiao 30 44 0 23 May 2014
Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes Jian Yang J. Qian Lei Luo Fanlong Zhang Yong Xu CVBM 24 332 0 06 May 2014
Forward - Backward Greedy Algorithms for Atomic Norm Regularization Nikhil S. Rao P. Shah Stephen J. Wright 33 90 0 23 Apr 2014
Regularization for Multiple Kernel Learning via Sum-Product Networks Ziming Zhang 32 0 0 13 Feb 2014
New explicit thresholding/shrinkage formulas for one class of regularization problems with overlapping group sparsity and their applications Gang Liu Tingzhu Huang Xiao-Guang Lv Jun Liu 37 4 0 24 Dec 2013
Sample Complexity of Dictionary Learning and other Matrix Factorizations Rémi Gribonval Rodolphe Jenatton Francis R. Bach M. Kleinsteuber Matthias Seibert 41 85 0 13 Dec 2013
Group-Sparse Signal Denoising: Non-Convex Regularization, Convex Optimization Po-Yu Chen I. Selesnick 23 164 0 23 Aug 2013
Deep Learning of Representations: Looking Forward Yoshua Bengio 45 680 0 02 May 2013
High-dimensional Mixed Graphical Models Jie Cheng Tianxi Li Elizaveta Levina Ji Zhu 54 78 0 09 Apr 2013
Translation-Invariant Shrinkage/Thresholding of Group Sparse Signals Po-Yu Chen I. Selesnick 30 102 0 29 Mar 2013
Convex Tensor Decomposition via Structured Schatten Norm Regularization Ryota Tomioka Taiji Suzuki 33 152 0 26 Mar 2013
On Sparsity Inducing Regularization Methods for Machine Learning Andreas Argyriou Luca Baldassarre C. Micchelli Massimiliano Pontil 40 5 0 25 Mar 2013
Multi-dimensional sparse structured signal approximation using split Bregman iterations Yoann Isaac Quentin Barthélemy Jamal Atif Cédric Gouy-Pailler Michèle Sebag 35 3 0 21 Mar 2013
Group-Sparse Model Selection: Hardness and Relaxations Luca Baldassarre Nirav Bhan V. Cevher Anastasios Kyrillidis Siddhartha Satpathi 48 35 0 13 Mar 2013
A Method for Finding Structured Sparse Solutions to Non-negative Least Squares Problems with Applications E. Esser Y. Lou Jack Xin 51 139 0 03 Jan 2013
Towards Ultrahigh Dimensional Feature Selection for Big Data Mingkui Tan Ivor W. Tsang Li Wang 56 154 0 24 Sep 2012
Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging Nikhil S. Rao Benjamin Recht Robert D. Nowak 42 19 0 14 Sep 2012
Learning Model-Based Sparsity via Projected Gradient Descent S. Bahmani P. Boufounos Bhiksha Raj 36 18 0 07 Sep 2012
Proximal methods for the latent group lasso penalty S. Villa Lorenzo Rosasco S. Mosci A. Verri 37 37 0 03 Sep 2012
Efficient Algorithm for Extremely Large Multi-task Regression with Massive Structured Sparsity Seunghak Lee Eric P. Xing 34 0 0 15 Aug 2012
Grouping Strategies and Thresholding for High Dimensional Linear Models Mathilde Mougeot D. Picard K. Tribouley 69 5 0 09 Jul 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 29 12,331 0 24 Jun 2012
A lasso for hierarchical interactions Jacob Bien Jonathan E. Taylor Robert Tibshirani 42 483 0 22 May 2012
Structured Input-Output Lasso, with Application to eQTL Mapping, and a Thresholding Algorithm for Fast Estimation Seunghak Lee Eric P. Xing 54 3 0 09 May 2012